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Record W1872328369 · doi:10.5489/cuaj.287

Mechanism of action of sacral nerve stimulation using a transdermal

2013· article· en· W1872328369 on OpenAlexafffundvenue
Mohamed S. Elkelini, Igor Pravidivyi, Magdy Hassouna

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersEthicon Endo-SurgeryCanadian Institutes of Health Research
KeywordsNeurostimulationCalcitonin gene-related peptideTransdermalNeuromodulationMedicineStimulationCalcitoninUrologySignal pathwayAnesthesiaInternal medicinePharmacologyChemistryNeuropeptide

Abstract

fetched live from OpenAlex

Introduction: Sacral neuromodulation (SNM) is an effective treatmentmodality for several urological problems, including neurogenicbladder. However, the invasiveness of this technique makesit unsuitable for many patients. We present a novel transdermalamplitude-modulated signal (TAMS) that may provide a non-invasivealternative to implantable SNM to treat neurogenic detrusoroveractivity (NDO).Methods: In this study, we investigated the mechanism of action of non-invasive SNM using TAMS on our established spinal cordinjury (SCI) animal model. We demonstrated that spinally transectedrats develop urinary bladder hyper-reflexia after 3 weeks of SCI,indicated by the presence of uninhibited contractions, increasedresting pressure, increased threshold pressure and increased maximum voiding pressure.Results: Short-term neurostimulation affected urodynamics parameters by significantly reducing the threshold pressure (p = 0.02). Spinal transection also increased calcitonin gene-related protein(CGRP) concentration in the L6 dorsal root ganglia; whereas,neurostimulation significantly reduced CGRP concentration in L6(p = 0.03).Conclusion: TAMS caused a reduction in NDO by inhibitingC-fibre activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.300
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes3
Has abstractyes

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